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气候引起的入侵物种(柑橘木虱 Diaphorina citri Kuwayama)分布范围的变化。

Climate-induced range shifts of invasive species (Diaphorina citri Kuwayama).

机构信息

Department of Biological, Physical and Mathematical Sciences, School of Natural and Environmental Sciences, University of Environment and Sustainable Development (UESD), Somanya, Ghana.

Institute of Teacher Education and Continuing Professional Development (ITECPD), University of Education (UEW), Winneba, Ghana.

出版信息

Pest Manag Sci. 2022 Jun;78(6):2534-2549. doi: 10.1002/ps.6886. Epub 2022 Apr 10.

Abstract

BACKGROUND

The Asian citrus psyllid (ACP) Diaphorina citri Kuwayama (Hemiptera: Liviidae) is a destructive, invasive species that poses a serious threat to the citrus industry wherever it occurs. The psyllid vectors the phloem-limited bacteria 'Candidatus Liberibacter americanus' and 'Ca. L. asiaticus', causal agents of the incurable citrus greening disease or huanglongbing (HLB). It is essential to understand which regions and areas are suitable for colonization by ACP to formulate appropriate policy and preventive measures. Considering its biology and ecology, we used a machine learning algorithm based on the MaxEnt (Maximum Entropy) principle, to predict the potential global distribution of ACP using bioclimatic variables and elevation.

RESULTS

The model predictions are consistent with the known distribution of ACP and also highlight the potential occurrence outside its current ecological range, that is, primarily in Africa, Asia and the Americas. The most important abiotic variables driving the global distribution of ACP were annual mean temperature, seasonality of temperature and annual precipitation.

CONCLUSION

Our findings highlight the need for international collaboration in slowing the spread of invasive pests like D. citri. © 2022 Society of Chemical Industry.

摘要

背景

亚洲柑橘木虱(ACP)Diaphorina citri Kuwayama(半翅目:丽木虱科)是一种具有破坏性的入侵物种,无论在何处发生,都会对柑橘产业构成严重威胁。木虱传播韧皮部局限细菌“Candidatus Liberibacter americanus”和“Ca. L. asiaticus”,这是不可治愈的柑橘黄龙病(HLB)的致病因子。了解 ACP 适合在哪些地区和区域定殖,对于制定适当的政策和预防措施至关重要。考虑到其生物学和生态学特性,我们使用了一种基于最大熵(MaxEnt)原理的机器学习算法,利用生物气候变量和海拔来预测 ACP 的潜在全球分布。

结果

模型预测与 ACP 的已知分布一致,并且还突出了其当前生态范围以外的潜在发生区域,主要在非洲、亚洲和美洲。驱动 ACP 全球分布的最重要的非生物变量是年平均温度、温度季节性和年降水量。

结论

我们的研究结果强调了需要国际合作来减缓像 D. citri 这样的入侵害虫的传播。 © 2022 化学工业学会。

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